Track I Large-Scale Population Cohorts: Subtrack 1. CKB (China Kadoorie Biobank)(J28000)

Foundation Model

Supports reinforcement training of the Genos genomic foundation model to build a globally leading large-scale model for chronic diseases in population cohorts.

Vertical Applications

• 1.AI-based predictive models and products for 10 major chronic diseases.
• 2.Establishment of a paid ecosystem based on data services and AI services.

Affiliated Branches

• Guangdong–Hong Kong–Macao Branch (Shenzhen)
• Beijing Branch (Beijing)
• Central China Branch (Wuhan)
• Southwest Branch (Chongqing)

(1) Preferred Background

Computer Science, Biostatistics, Epidemiology, Bioinformatics, Applied Mathematics, or Public Health.

(2) Core Technical Skills

Strong programming skills (Python/R); experience in large-scale data processing; familiarity with survival analysis, causal inference, and deep learning models.

(3) Modeling Competency

Experience with real-world medical datasets; ability to design and validate disease risk prediction models; understanding of foundation model fine-tuning is a plus.

(4) Preferred Qualifications

Prior work with cohort studies, GWAS, or medical AI projects; experience in distributed training or high-performance computing is advantageous.

(5) Personal Traits

Data-driven thinker, strong research discipline, comfortable working with noisy real-world data, and motivated by translational healthcare impact.